Netflix

Netflix

Software Engineer 6 – Context Enablement

USA - Remote · Staff+ · Full-time

Sponsorship not specified$499k-$820kDetected 1 day ago
JavaScriptJavaGoKotlinDistributed SystemsVector DatabasesRAGMentoring

About the role

  • Productivity Engineering is an AI-native organization tasked with making Netflix engineers more effective.
  • Our challenge is deceptively simple: keep the developer experience excellent even as complexity increases.

Responsibilities

  • Shape how Netflix delivers, evaluates, and governs agent context across plugins, Dev Profiles, and NECP, with a bias to action and incremental delivery in production.
  • Partner with platform and domain teams to enable context producers to improve the daily agent experience for consumers.
  • Operate with agility when requirements are ambiguous: socialize options, decide, align partners, and adjust course as you learn.
  • Lead and grow a team of 4+ engineers as their technical lead: set the technical bar, mentor through design and code.
  • Prior experience on a team that builds tooling for other engineers (Developer Productivity, Platform, Engineering Effectiveness, or similar).
  • We build and support the infrastructure to create, build, test, deploy, run, and observe the
  • The Agent and Engineer Experiences organization exists to make agents more capable, trustworthy, and easier to manage at scale.
  • from plugins which deliver context to the developer experiences where engineers discover, trust, and use agents.
  • accountable for technical outcomes, farming for dissent across partners, and making clear judgment calls when the space shifts.
  • High-impact work that touches how engineers across Netflix build software with agents at the center.

Requirements

  • Proficiency in Java/Kotlin/Go or JavaScript/TypeScript.

Nice to have

  • Prior experience with Internal Developer Platforms (IDPs) where engineers discover tools, documentation, and agent workflows in one place.
  • Our sister team works on Console, Netflix's Developer Portal, a primary place where engineers interact with agents.
  • RAG/vector DB experience (Pinecone, Weaviate, pgvector).
  • Backend / distributed systems experience.
  • You will be successful in this role if you
  • Are comfortable with ambiguity and enjoy problems where the solution still needs to be defined
  • Have a deep sense of ownership and pride in shipping reliable, customer-focused platform work.
  • Seek what is best for Netflix and help colleagues across teams succeed.

Skills

  • the tools, context, evals, and paved roads that make agentic development reliable at scale.
  • As Netflix grows, so does the complexity behind our engineering systems.
  • shipping incrementally, learning from production, and exercising strong judgment as models, tools, and practices change.
  • The agent plugin ecosystem, how teams package and distribute agent plugins, MCP servers, and tools
  • Dev Profiles, the standardized path for delivering the right tools and context to every engineer's environment
  • Define and evolve technical strategy for the context platform as tools, models, and organizational needs shift.

Compensation

  • $499k-$820k

Benefits

  • A fast-moving AI space where judgment, agility, and learning in production matter as much as architecture.
  • Our culture is unique, and we live by our values, so it is worth learning more about Netflix culture.
  • Strong product engineering mindset: empathy for peers and customers, clarity on who benefits from your work and why now vs later.
  • Comfort with ambiguity, incremental delivery, and continuous learning from production signals.

Company info

  • The Context Enablement pod owns the context layer that grounds coding agents in how Netflix works.
  • Agent quality depends on plugins and curated knowledge; that layer is now load-bearing for engineering productivity and is growing faster than the governance around it.
  • We are responsible for:
  • NECP (Netflix Engineering Context Provider), the curated knowledge system grounding coding agents in Netflix-specific frameworks and patterns
  • We serve context producers (platform and domain teams authoring context) and consumers (engineers whose daily agentic work depends on it).
  • We are building toward a Context Development Lifecycle across creation, evals, distribution, and observability so domain owners can manage their curated context while the platform handles the rest.
  • We are hiring a Staff engineer to serve as the technical lead for this pod: accountable for technical outcomes, farming for dissent across partners, and making clear judgment calls when the space shifts.
  • You will set technical direction for a team of 4+ engineers and work shoulder to shoulder with the pod's EM, PM, and the organization's Architect to turn an ambiguous, fast-moving space into durable platform work.
  • This is a new team in a new space; this role will be central to bootstrapping how we deliver context and how it connects to the broader engineer and agent experience at Netflix.
  • engage customers, measure quality and adoption, and iterate based on what you learn in production.
  • Establish feedback loops early: engage customers, measure quality and adoption, and iterate based on what you learn in production.
  • At Netflix, our mission is to entertain the world.
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This listing is sourced directly from Netflix's careers page and normalized into a canonical job model.